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Title: A novel semantic web browser for user centric information retrieval: PERSON
Authors: Aksaç, Alper
Öztürk, Orkun
Doğdu, Erdoğan
Keywords: Semantic web browsing
Semantic annotation
Information extraction
Named entity recognition
Linked data
Issue Date: 2012
Publisher: Pergamon-Elsevier Science Ltd
Abstract: As semantic web technologies mature and consequently more semantic web data is published on the web, there is a growing need for tools to access and use this data in user friendly ways. The most generic tool to access semantic web data is the common web browser. Developing plug-ins for advanced web browsers is one way of adding semantic information to web documents automatically or semi-automatically. To enable this enhancement, we present a novel semantic web browser called PERSON which is short for PERsonal Semantic extensiON. PERSON is an extension for Mozilla Firefox Web Browser and it adds semantics to users' browsing experience by annotating web resources, associating them in categorical, entity-based manner and presenting more meaningful, structured documents to users. As a notable difference, semantic layer provided by PERSON works not only on web pages navigated by users but also on RSS data of user choice. Additionally, acquired content from web resources associated with linked data domains bring users together with structured information easily. In this paper, we evaluate PERSON as a new approach for semantic web browsing and present the analysis, design and implementation of PERSON and compare its features with related tools. (C) 2012 Elsevier Ltd. All rights reserved.
ISSN: 0957-4174
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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